The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering
Abstract
In this paper we present a new unsupervised fuzzy algorithm for vessel tracking that is applied to the detection of the ocular fundus vessels. The proposed method overcomes the problems of initialization and vessel profile modeling that are encountered in the literature and automatically tracks fundus vessels using linguistic descriptions like "vessel" and "nonvessel." The main tool for determining vessel and nonvessel regions along a vessel profile is the fuzzy C-means clustering algorithm that is fed with properly preprocessed data. Additional procedures for checking the validity of the detected vessels and handling junctions and forks are also presented. The application of the proposed algorithm to fundus images and simulated vessels resulted in very good overall performance and consistent estimation of vessel parameters.
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Citations
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Zadeh, L. A. (1996) · Cited by 46,844
Pattern Recognition with Fuzzy Objective Function Algorithms
Bezdek, J. C. (1981) · doi:10.1007/978-1-4757-0450-1 · Cited by 9,881
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
Zadeh, L. A. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.5408575 · Cited by 8,721
Detection of blood vessels in retinal images using two-dimensional matched filters
Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., & Goldbaum, M. (1989) · IEEE Transactions on Medical Imaging · doi:10.1109/42.34715 · Cited by 1,668
The detection and quantification of retinopathy using digital angiograms
Zhou, L., Rzeszotarski, M. S., Singerman, L. J., & Chokreff, J. M. (1994) · IEEE Transactions on Medical Imaging · doi:10.1109/42.363106 · Cited by 292
Sun, Y., Lucariello, R. J., & Chiaramida, S. A. (1995) · IEEE Transactions on Medical Imaging · doi:10.1109/42.387705 · Cited by 37
Cited by
Ridge-based vessel segmentation in color images of the retina
Staal, J., Abramoff, M. D., Niemeijer, M., Viergever, M. A., & van Ginneken, B. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.825627 · Cited by 4,202
Detection of Optic Disc in Retinal Images by Means of a Geometrical Model of Vessel Structure
Foracchia, M., Grisan, E., & Ruggeri, A. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.829331 · Cited by 445
Metadata
- Authors
- Tolias, Y. A., & Panas, S. M.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1998-04
- Volume
- 17
- Issue
- 2
- Pages
- 263-273
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2168932490
- Cited by
- 365
- References
- 7
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tolias, Y. A., & Panas, S. M. (1998). A fuzzy vessel tracking algorithm for retinal images based on fuzzy clustering. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.700738
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
